Marsh & McLennan Agency is the trusted partner of businesses, municipalities, education and non-profit organizations, professional service providers, individuals, and families located in communities throughout the country. Our Midwest team of more than 180 insurance, human resource,financial, and legal professionals provides comprehensive, value-driven insurance and financial services that effectively manage risk and protect clients’ assets and interests—tailoring solutions to meet their unique needs.

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Kevin Duffin and Chris Pulos are Registered Representatives of and offer securities through Summit Brokerage Services, Inc., member FINRA / SIPC. This site is published for residents of the United States only. Registered Representatives of Summit Brokerage Services, Inc. may only conduct business with residents of the states and/or jurisdictions in which they are properly registered. Not all of the products and services referenced on this site may be available in every state and through every representative listed. For additional information please contact the representative listed on the site, visit the Summit Brokerage Services, Inc. site at www.summitbrokerage.com. Securities are only offered through our Dayton office. Kevin Duffin and Chris Pulos offer advisory services through MMA Securties. Marsh & McLennan Agency (MMA) is not affiliated with Summit Brokerage Services, Inc.

The information on this website is not intended to be taken as advice regarding any individual situation and should not be relied upon as such. Marsh & McLennan Agency LLC shall have no obligation to update this information and shall have no liability to you or any other party arising out of this website or any matter contained herein. Any statements concerning actuarial, tax, accounting, or legal matters are based solely on our experience as consultants and are not to be relied upon as actuarial, accounting, tax, or legal advice, for which you should consult your own professional advisors. Any modeling analytics or projections are subject to inherent uncertainty and the analysis could be materially affective if any underlying assumptions, conditions, information, or factors are inaccurate or incomplete or should change.